DBMS > TerminusDB vs. Trino vs. Vitess

System Properties Comparison TerminusDB vs. Trino vs. Vitess

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Editorial information provided by DB-Engines

Name

Description

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Scalable, distributed, cloud-native DBMS, extending MySQL

Primary database model

Graph DBMS

Relational DBMS

Secondary database models

Document store
RDF store

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.17
Rank	#318	Overall
	#28	Graph DBMS

Score	5.47
Rank	#62	Overall
	#35	Relational DBMS

Score	0.88
Rank	#200	Overall
	#92	Relational DBMS

Website

terminusdb.com

trino.io

vitess.io

Technical documentation

terminusdb.github.io/terminusdb/#

trino.io/broadcast
trino.io/docs/current

vitess.io/docs

Developer

DataChemist Ltd.

Trino Software Foundation

The Linux Foundation, PlanetScale

Initial release

2018

2012

2020 rebranded from PrestoSQL

2013

Current release

11.0.0, January 2023

15.0.2, December 2022

License

Commercial or Open Source

Open Source

GPL V3

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0, commercial licenses available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Prolog, Rust

Java

Server operating systems

Linux

Linux
macOS

for devlopment

Docker
Linux
macOS

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

depending on connected data-source

yes

SQL

Support of SQL

SQL-like query language (WOQL)

yes

with proprietary extensions

APIs and other access methods

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

JDBC
RESTful HTTP API
Trino CLI

ADO.NET
JDBC
MySQL protocol
ODBC

Supported programming languages

JavaScript
Python

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

yes, depending on connected data-source

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Graph Partitioning

depending on connected data-source

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Journaling Streams

depending on connected data-source

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

depending on connected data-source

Eventual Consistency across shards
Immediate Consistency within a shard

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

depending on connected data-source

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

in-memory journaling

depending on connected data-source

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control

SQL standard access control

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

News

A glimpse at the summit
17 October 2024

A Kubernetes operator for Trino?
10 October 2024

SQL basecamps before Trino Summit
7 October 2024

23 is a go, keeping pace with Java
17 September 2024

66: Chat with Trino and Wren AI
12 September 2024

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More resources

Recent citations in the news

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

[MCR2030-CAMS-ARISE-UNDRR Webinar] Preventing cascading failures of critical assets: Using the Open-Source Critical Asset Management System (CAMS) to help cities become disaster and climate resilient
12 April 2022, United Nations Office for Disaster Risk Reduction

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Run queries up to 9x faster using Trino with Amazon S3 Select on Amazon EMR
21 November 2022, AWS Blog

Starburst Advances 'Icehouse' for Near Real-Time Analytics on the Open Data Lakehouse
10 April 2024, PR Newswire

Starburst, which promises faster analytics on decentralized data, raises $250M
9 February 2022, VentureBeat

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

PlanetScale raises $30M Series B for its database service
23 June 2021, TechCrunch

PlanetScale launches new database-as-a-service platform
18 May 2021, TechTarget

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

PlanetScale Announces $30M Series B Funding to Accelerate Adoption of Instantly Provisioned and Infinitely Scalable Database
23 June 2021, businesswire.com

provided by Google News

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